The Senior Machine Learning & Computer Vision Engineer is responsible for the development of industrial-grade applications by leveraging advanced machine learning and computer vision techniques to analyze complex biological images. You will play a key role in architecting, developing, and optimizing software solutions that meet the demanding performance requirements of the life science industry. This position reports to the software engineering manager and is part of the IN Carta software development team located in Bellevue, WA and will be an on-site role. In this role, you will have the opportunity to: • Software Development & Architecture: Design, develop, and maintain high-performance machine learning and computer vision applications tailored for life science imaging challenges. Architect robust, scalable, and maintainable software systems that integrate seamlessly with existing industrial workflows. Collaborate with cross-functional teams, including data scientists, bioinformaticians, and domain experts, to translate research prototypes into production-ready systems. • Machine Learning & Computer Vision: Develop and implement state-of-the-art algorithms (e.g., convolutional neural networks, object detection, segmentation) to process and analyze biological image data. Optimize existing machine learning models and computer vision pipelines for performance, accuracy, and scalability. Stay current with the latest research and advancements in computer vision, deep learning, and AI as they relate to life sciences. • Performance Optimization: Identify performance bottlenecks in software and implement optimization strategies to enhance processing speed and efficiency. Leverage parallel computing, GPU acceleration, and efficient data management techniques to ensure high throughput and low latency. Conduct rigorous testing and benchmarking to validate performance improvements and ensure software reliability in industrial environments. • Industrial Application Development: Ensure the software meets industrial standards for reliability, security, and compliance with regulatory requirements specific to the life science domain. Develop comprehensive documentation, including technical specifications, user guides, and maintenance procedures. Participate in code reviews, pair programming, and agile development practices to maintain high code quality and efficient development cycles. • Collaboration: Work closely with research teams and other stakeholders to understand user requirements and translate them into technical solutions. Contribute to a culture of continuous improvement by sharing best practices, tools, and techniques across the team. The essential requirements of the job include • Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. preferred. • Experience: 7+ years of professional software development experience, with a strong focus on industrial application development. Proven expertise in developing machine learning and computer vision solutions, preferably in the life sciences or a related field. Demonstrated experience in performance optimization techniques, including the use of GPU acceleration and parallel processing. • Technical Skills: Proficiency in programming languages such as Python and C/C++. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV). Strong understanding of computer vision algorithms and image analysis techniques. Expertise in optimizing code for performance and scalability in high-demand industrial applications. Familiarity with software development best practices, version control systems (e.g., Git), and agile methodologies. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. • Domain Knowledge: Understanding of life science imaging techniques (e.g., microscopy, medical imaging, high-content screening) and the associated data challenges. Knowledge of regulatory standards and data privacy requirements in the life sciences is an advantage. • Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities to work effectively with cross-disciplinary teams. Ability to manage multiple projects concurrently and deliver high-quality results under tight deadlines. It would be a plus if you also possess previous experience in: • Experience in deploying machine learning models in production environments. • Publications or contributions to open-source projects in computer vision or machine learning. • Familiarity with DevOps practices and CI/CD pipelines. Molecular Devices, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. The annual salary range for this role is $111,500 - 133,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.